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Targets — browse / sort / filter (view)

One row per human protein target with names + key evidence. Click column headers to SORT; use the facets to FILTER (tier, activation pair, known aptamer, EV-Map). UniProt IDs link to the source. Default sort is evidence_priority — a DETERMINISTIC, reproducible score computed from harvested evidence (structure / disease / predicted-surface / EV-detection). Filter has_structure=1 for the core set: targets with a reported 3D structure (the requirement the Kd layer is built around).

Data license: CC BY 4.0 · Data source: apt-scout automated curation pipeline (E. Dohi, NCNP) — values harvested from public databases; raw source stored per target

id
UniProt accession (human). Links to uniprot.org.
gene_symbol
Gene symbol (e.g. ITGB3).
protein_name
Protein name (UniProt).
tier
Tier 1 = PDB-anchored; Tier 1.5 = AlphaFold-confident.
has_structure
1 if the target protein has a reported experimental 3D structure (PDB). This is the CORE requirement the aptamer-Kd layer is built around — filter to 1 for the structure-backed set.
evidence_priority
DETERMINISTIC, reproducible prioritisation (0-1) computed at build time from real harvested columns: 0.35*experimental-structure(PDB=1 / AlphaFold-only=0.3) + 0.30*Open-Targets-top-disease-score + 0.20*PREDICTED-surface-accessibility(A_surface=1) + 0.15*EV-detection(EV-Map). A transparent ranking AID, not a validation; the surface/EV terms are PREDICTIONS/DETECTIONS, not measured EV-surface exposure. Recomputable exactly from this DB.
has_activation_state_pdb_pair
1 if a curated ACTIVE/INACTIVE PDB pair exists (only 11 targets).
in_cev_map
Detected in the EV-Map plasma-EV dataset (Rai & Greening 2025, Nat Cell Biol, 10.1038/s41556-025-01795-7) = 3,422 apt-scout targets (broad detected proteome). The EV-Map CONSERVED EV proteome is 182 proteins (42 non-EV); apt-scout matches 104 of these conserved EV-hallmark proteins as targets by gene (the other 78 are not apt-scout targets). Use the ev_hallmark_targets query for that subset. IMPORTANT: EV-Map detection means the protein is EV CARGO (present in the vesicle) — it does NOT mean surface-exposed. Rai & Greening 2025 run a separate membrane-impermeant biotinylation assay giving a 151-protein SURFACEOME, and show the conserved SDCBP/syntenin is luminal (not surface-accessible). For genuine EV-surface accessibility use that 151-protein set, not EV-Map presence.
has_known_aptamer
1 if PubMed '(gene) AND (aptamer OR SELEX)' returned any hit (KEYWORD co-mention, includes false positives — NOT a verified aptamer). For verified aptamers with Kd, see the Binding-affinities (v_kd) layer.
opentargets_top_disease_score
Open Targets association score (0-1).
aptamer_count_pubmed
Number of PubMed hits for (this protein) AND (aptamer OR SELEX). Keyword co-occurrence — verify each (many co-mention without a real aptamer).
aptamer_pmids
The actual PubMed IDs behind the aptamer evidence — click each to read the paper. This is the source of the 'has aptamer' claim.
surface_class
PREDICTED membrane topology (HPA-derived, not a measurement): A_surface = integral/ecto cell-surface (predicted EV-surface accessible); A2_pm_peripheral = plasma-membrane cytoplasmic-leaflet (SRC/LYN/RHOA, predicted not reachable); A_assoc = secreted/corona; B_cargo = luminal cargo; unknown = no HPA localization. Lipid asymmetry can partially flip (PS via scramblase); confirm by protease-protection / intact-EV surface labelling. See v_surface_targets.

513 rows where has_cryoEM = 0, in_cev_map = 0 and surface_class = "unknown" sorted by evidence_priority descending

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Suggested facets: pdb_count_total, aptamer_count_pubmed

tier 2

  • Tier 1.5 436
  • Tier 1 77

has_structure 2

  • 0 442
  • 1 71

has_known_aptamer 2

  • 0 508
  • 1 5

surface_class 1

  • unknown · 513 ✖

in_cev_map 1

  • - · 513 ✖

has_cryoEM 1

  • - · 513 ✖

has_activation_state_pdb_pair 1

  • 0 513
id gene_symbol protein_name tier evidence_priority ▲ has_structure surface_class pdb_count_total alphafold_mean_pLDDT has_cryoEM has_activation_state_pdb_pair activation_state_pdb_active activation_state_pdb_inactive has_known_aptamer aptamer_count_pubmed aptamer_pmids in_cev_map opentargets_top_disease_name opentargets_top_disease_score
Q5IJ48     Tier 1.5 0.593 1 unknown 1 76.44 0 0     0 0   0 ventriculomegaly-cystic kidney disease 0.8112741813611002
Q5JTC6     Tier 1 0.59 1 unknown 3 48.31 0 0     0 0   0 osteopathia striata with cranial sclerosis 0.8010289843367673
P43146     Tier 1 0.587 1 unknown 9 68.19 0 0     0 0   0 mirror movements 1 0.7894844854575112
Q8WYB5     Tier 1 0.587 1 unknown 3 48.97 0 0     0 0   0 genitopatellar syndrome 0.7887666805196595
Q92794     Tier 1 0.587 1 unknown 21 48.66 0 0     0 0   0 autosomal dominant intellectual disability-craniofacial anomalies-cardiac defects syndrome 0.7908994336990406
O60828     Tier 1 0.586 1 unknown 3 70.56 0 0     0 0   0 Renpenning syndrome 0.7876227110842514
O15297     Tier 1.5 0.583 1 unknown 1 67.88 0 0     0 0   0 intellectual developmental disorder with gastrointestinal difficulties and high pain threshold 0.7779617805712467
Q09013     Tier 1 0.574 1 unknown 2 77.62 0 0     0 0   0 myotonic dystrophy type 1 0.7480475113698601
O60930     Tier 1.5 0.574 1 unknown 7 79.56 0 0     0 0   0 progressive external ophthalmoplegia with mitochondrial DNA deletions, autosomal recessive 2 0.74733857283595
Q6IQ55     Tier 1 0.569 1 unknown 6 48.84 0 0     0 0   0 spinocerebellar ataxia type 11 0.7308755447203157
O60882     Tier 1.5 0.568 1 unknown 1 83.31 0 0     0 0   0 Hypomaturation amelogenesis imperfecta 0.7281006394540224
O75838     Tier 1.5 0.564 1 unknown 1 88.62 0 0     0 0   0 hearing loss, autosomal recessive 0.7117048435819099
Q15080     Tier 1 0.548 1 unknown 6 84.19 0 0     0 0   0 chronic granulomatous disease 0.6592487859566178
Q9NUW8     Tier 1 0.538 1 unknown 48 80.62 0 0     0 0   0 spinocerebellar ataxia, autosomal recessive, with axonal neuropathy 1 0.6250066855961889
P39086     Tier 1 0.532 1 unknown 11 81.12 0 0     0 0   0 epilepsy 0.6079292940174927
Q6PCD5     Tier 1 0.525 1 unknown 1 70.12 0 0     0 0   0 Fanconi anemia, complementation group W 0.5849156442856244
Q496J9     Tier 1 0.521 1 unknown 6 78.0 0 0     0 0   0 botulism 0.569067134332723
P35568     Tier 1 0.518 1 unknown 8 49.0 0 0     0 0   0 Abnormality of the skeletal system 0.5600726776459989
P29074     Tier 1 0.511 1 unknown 8 77.19 0 0     0 0   0 neurodegenerative disease 0.5366583695296713
Q9BZC1     Tier 1 0.509 1 unknown 2 61.47 0 0     0 0   0 major depressive disorder 0.5312056211019677
P01579     Tier 1.5 0.498 1 unknown 8 85.31 0 0     0 0   0 Primary hemophagocytic lymphohistiocytosis 0.49197933519665166
Q96QB1     Tier 1 0.494 1 unknown 7 55.88 0 0     0 0   0 Abnormality of the skeletal system 0.4815591361203349
Q58F21     Tier 1 0.491 1 unknown 21 62.44 0 0     0 0   0 male infertility with teratozoospermia due to single gene mutation 0.46995568999565185
Q9UHK0     Tier 1 0.491 1 unknown 1 55.25 0 0     0 0   0 neurodegenerative disease 0.4706636090264093
O15075     Tier 1 0.474 1 unknown 11 72.19 0 0     0 0   0 mathematical ability 0.414033055781774
P01563     Tier 1 0.468 1 unknown 13 85.06 0 0     0 0   0 renal cell carcinoma 0.3938654263610389
P42679     Tier 1 0.459 1 unknown 3 83.75 0 0     0 0   0 neurodegenerative disease 0.36332514256792015
Q1MX18     Tier 1 0.455 1 unknown 1 83.12 0 0     0 0   0 diverticular disease 0.34835781104015423
P49765 VEGFB Vascular endothelial growth factor B Tier 1 0.451 1 unknown 4 73.5 0 0     1 2 27189805 0 diabetic macular edema 0.3361465485773345
Q99619     Tier 1 0.444 1 unknown 9 87.62 0 0     0 0   0 neurodegenerative disease 0.31278070690952203
Q9H4Z3     Tier 1 0.441 1 unknown 3 80.12 0 0     0 0   0 neurodegenerative disease 0.30499435066569835
Q8IVL8 CPO Carboxypeptidase O Tier 1 0.434 1 unknown 1 87.62 0 0     1 2 39641920, 39484557 0 Abruptio Placentae 0.2786958378972539
O95393     Tier 1 0.428 1 unknown 8 74.06 0 0     0 0   0 colorectal neoplasm 0.25870589827929125
Q14451     Tier 1 0.416 1 unknown 14 78.0 0 0     0 0   0 gallbladder disease 0.2185260074771684
O43715     Tier 1 0.384 1 unknown 6 87.62 0 0     0 0   0 acquired thrombocytopenia 0.11295587996127908
O15232     Tier 1.5 0.354 0 unknown 0 79.38 0 0     0 0   0 multiple epiphyseal dysplasia type 5 0.8302929519450023
P00323   Flavodoxin Tier 1 0.35 1 unknown 41 97.88 0 0     0 0   0    
P01631   Ig kappa chain V-II region 26-10 Tier 1 0.35 1 unknown 19 97.62 0 0     0 0   0    
P00268   Rubredoxin Tier 1 0.35 1 unknown 45 96.94 0 0     0 0   0    
Q96JD1     Tier 1 0.35 1 unknown 3 96.5 0 0     0 0   0    
Q9V2J8     Tier 1 0.35 1 unknown 41 96.56 0 0     0 0   0    
P04213   T-cell receptor beta chain V region C5 Tier 1 0.35 1 unknown 20 93.19 0 0     0 0   0    
Q9UL95     Tier 1 0.35 1 unknown 1 92.88 0 0     0 0   0    
P58154   Acetylcholine-binding protein Tier 1 0.35 1 unknown 67 92.06 0 0     0 0   0    
K7N5N2     Tier 1 0.35 1 unknown 14 91.5 0 0     0 0   0    
A0N8J3     Tier 1 0.35 1 unknown 9 91.25 0 0     0 0   0    
Q99T13   Putative multidrug export ATP-binding/permease protein SAV1866 Tier 1 0.35 1 unknown 3 90.62 0 0     0 0   0    
P06897   Histone H2A type 1 Tier 1 0.35 1 unknown 100 90.38 0 0     0 0   0    
O19626 B-3501   Tier 1 0.35 1 unknown 5 89.75 0 0     0 0   0    
Q7NDN8 glvI Proton-gated ion channel Tier 1 0.35 1 unknown 100 89.31 0 0     0 0   0    

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CREATE VIEW v_targets AS
SELECT f.id, n.gene_symbol, n.protein_name, tg.tier,
 -- evidence_priority: DETERMINISTIC, reproducible from real DB columns (no LLM).
 -- Transparent weights over harvested evidence: structure 0.35, disease importance
 -- 0.30 (Open Targets top-disease score), PREDICTED surface accessibility 0.20,
 -- EV detection 0.15. A heuristic ranking aid, not a validation; surface/EV terms
 -- are predictions/detections, NOT measured EV-surface exposure.
 ROUND(
   0.35*(CASE WHEN CAST(COALESCE(f.pdb_count_total,'0') AS INTEGER)>0 THEN 1.0
              WHEN CAST(COALESCE(NULLIF(f.alphafold_mean_pLDDT,''),'0') AS REAL)>0 THEN 0.3 ELSE 0.0 END)
 + 0.30*MIN(CAST(COALESCE(NULLIF(f.opentargets_top_disease_score,''),'0') AS REAL), 1.0)
 + 0.20*(CASE sc.surface_class WHEN 'A_surface' THEN 1.0 WHEN 'A_assoc' THEN 0.5 WHEN 'A2_pm_peripheral' THEN 0.2 ELSE 0.0 END)
 + 0.15*(CASE WHEN CAST(COALESCE(f.in_cev_map,0) AS INTEGER)=1 THEN 1.0 ELSE 0.0 END)
 , 3) AS evidence_priority,
 (CASE WHEN CAST(COALESCE(f.pdb_count_total,'0') AS INTEGER)>0 THEN 1 ELSE 0 END) AS has_structure,
 sc.surface_class,
 f.pdb_count_total, f.alphafold_mean_pLDDT, f.has_cryoEM,
 f.has_activation_state_pdb_pair, f.activation_state_pdb_active, f.activation_state_pdb_inactive,
 f.has_known_aptamer, f.aptamer_count_pubmed, ap.aptamer_pmids,
 f.in_cev_map, f.opentargets_top_disease_name, f.opentargets_top_disease_score
FROM v_target_full f
LEFT JOIN target_names n ON n.target_id=f.id
LEFT JOIN targets tg ON tg.id=f.id
LEFT JOIN target_aptamer_pmids ap ON ap.target_id=f.id
LEFT JOIN membrane_surface_class sc ON sc.target_id=f.id;
Powered by Datasette · Queries took 632.591ms · Data license: CC BY 4.0 · Data source: apt-scout automated curation pipeline (E. Dohi, NCNP) — values harvested from public databases; raw source stored per target